Controlling and Monitoring of a Solar-powered DC Motor using a Wireless Sensor Network

ABSTRACT

Due to the economic challenges of soaring oil costs and natural concerns, India faces an enormous growth in renewable energy resources. The solar photovoltaic technology, as a clean and green energy source, plays a critical role in addressing any country’s power shortage. Before mounting a PV system at any location, modeling, simulation, and analysis of solar photovoltaic (PV) generators is a critical phase that helps to understand the behavior and characteristics of the system in real-world climatic conditions. A solar panel, buck–boost converter, separately excited (S.E) DC motor, and controllers, such as Proportional Integral Derivative (PID), Fuzzy, fuzzy based on PID (FPID), and Artificial Neural Network (ANN) controllers are all included in the proposed system. Because compared to other controllers, the ANN controller produces better results. It was designed to deal with system non-linearity and system-related ambiguity. Wireless sensor network (WSN) and Data Dashboard for LabVIEW are used to monitor and control the system.

KEYWORDS:

• WSN
• Solar energy
• MPPT
• Data Dashboard
• FPID
• ANN

Acknowledgments

The authors acknowledge the NI Academy, Electronics & Communication Department, KIET Group of Institutions, Ghaziabad, Power Electronics Lab, Electrical Engineering Department, National Institute of Technology, Kurukshetra, India, for their assistance.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Salim

Salim received his BTech from the Department of Instrumentation (USIC), Kurukshetra University, and MTech from the National Institute of Technology Kurukshetra from where he is pursuing a PhD. He currently is an assistant professor in the Electrical & Electronics Engineering Department, KIET Group of Institutions Delhi-NCR Ghaziabad, India. His area of interest includes control system, renewable energy, microprocessor and microcontroller-based applications. He is a Certified LabVIEW Associate Developer (CLAD).

Jyoti Ohri

Jyoti Ohri received her BTech, MTech, and PhD from the National Institute Technology Kurukshetra, India. She is presently professor in the Electrical Engineering Department, National Institute of Technology Kurukshetra, India. Her area of interest includes robotics, optimal robust and intelligent control, etc. She has vast teaching and research experience. She holds various research, academics and administrative position at a different level. She has numerous research articles in various journals and conferences. She is a reviewer of various journals. Prof Ohri is a member of various reputed professional societies, such as IEEE, IEEE Control System Society, and IEEE Computer Society Technical Community on Haptics. E-mail: [email protected]